Howdy! I'm Yu-Wen, currently a Computer vision and Deep Learning Engineer at AeroTract LLC, Albany, Oregon USA. My job content mainly include building, evaluating object detection and instance segmentation deep learning models for use in forestry and agriculture fields maintenance. At AeroTract, I work closely with Dr. Cory Garms, a UAS remote sensing export and scientist to develope DL/LiDAR combined data processing pipline.
I was a grad student in Computer Science at Oregon State University, Corvallis, Oregon USA. My specialty was in natural language processing and computer vision with deep learning, database management systeme, and computer graphics.
With my past education and experience in deep learning, I now aspire to explore and research in the field to make significant contributions. Feel free to reach out if any of the work sounds interesting to you!
Programming Language: | Python C / C++ HTML SQL Swift Haskell |
ML/DL Frameworks: | Pytorch Tensorflow Scikit-Learn Detectron2 SpaCy |
Genearl Frameworks: | Pandas Matplotlib |
Developer Tools: | Git Docker MySQL QGIS |
Machine Learning Automatic Pipline Development: development of pipline using active learning, transfer learning,
few-shot learning.
LiDAR/Mahcine Learning Combined Pipline Devolopment: development of pipline utlized the advantage of object detection
and LiDAR data to estimate the Xmas tree height.
GPA: 3.97 / 4.0
Accomplishment: Academic Excellence Scholarship (2 years)
Courses:
CS 535: Deep Learning
CS 534: Machine Learning
CS 539: Natural Language Processing with Deep Learning
CS 539: Matrix Analysis Signal Processing and Machine Learning
CS 539: Scalable Querying and Machine Learning
CS 540: Database Management System
CS 572: Computer Architecture
CS 527: Error-correcting Codes
CS 550: Introduction to Computer Graphics
CS 550: Introduction to Computer Graphics
CS 557: Computer Graphics Shaders